Using generalized logistics regression to forecast population infected by Covid-19
Αποθηκεύτηκε σε:
| Συγγραφέας: | |
|---|---|
| Μορφή: | documento de trabajo |
| Ημερομηνία έκδοσης: | 2020 |
| Περιγραφή: | In this work, a proposal to forecast the populations using generalized logistics regression curve fitting is presented. This type of curve is used to study population growth, in this case population of people infected with the Covid-19 virus; and it can also be used to approximate the survival curve used in actuarial and similar studies. |
| Χώρα: | Kérwá |
| Ίδρυμα: | Universidad de Costa Rica |
| Repositorio: | Kérwá |
| OAI Identifier: | oai:kerwa.ucr.ac.cr:10669/80876 |
| Διαθέσιμο Online: | https://hdl.handle.net/10669/80876 |
| Λέξη-Κλειδί : | generalized logistic regression curve fitting COVID-19 |